3 documents found, page 1 of 1
A machine learning approach for enhanced glucose prediction in biosensors
Abreu, António; Oliveira, Daniela dos Santos; Vinagre, Inês; Cavouras, Dionisios; Alves, Joaquim A.; Pereira, Ana I.; Moreira, Felismina T. C.The detection of glucose is crucial for diagnosing diseases such as diabetes and enables timely medical intervention. In this study, a disposable enzymatic screen-printed electrode electrochemical biosensor enhanced with machine learning (ML) for quantifying glucose in serum is presented. The platinum working surface was modified by chemical adsorption with biographene (BGr) and glucose oxidase, and the enzyme ...
Integration of the microfluidic and plastic body for the detection of a biomark...
Vinagre, Inês; Chiussi, Stefano; Moreira, Felismina T.C.
Self-powered biosensor towards glucose diagnostic in Point-of-Care
Vinagre, Inês; Alves, Joaquim; Moreira, Felismina T.C.Monitoring blood glucose levels is of great importance, especially for people at high risk of developing diabetes. To this end, an innovative biosensor device has been developed that uses a miniaturized and membraneless enzymatic fuel cell (EFC) as an electrical reader box for diabetes diagnosis at the point-of-care. Gold screen-printed electrodes (Au-SPE) were modified with the enzyme glucose oxidase (GOx), wh...